AI literacy that brings the whole company along.
AI scares some people and excites others. Our AI literacy program gives the whole company the same reference points: what AI can do, its limits, and the rules for using it.
Book a callTrusted by
What's at stake
AI literacy isn't training. It's building a culture
We demystify generative AI: what it can do, its limits, its risks. From the C-suite to the operator, everyone shares the same baseline understanding, no jargon.
We set the rules of the game: sensitive data, confidentiality, approved tools, framed use cases. A clear framework that secures adoption instead of slowing it down.
We lift the fears and bring the whole organization on board. Sponsors, managers, teams: everyone understands what AI changes in their daily work and why it's an opportunity.
We tie AI literacy to concrete, measurable use cases. The goal: turn new skills into time and value gains leadership can see.
We measure real usage over time: who uses what, on which cases, with what results. Concrete metrics to steer and adjust, not a gut feeling.
We set up internal relays (champions), rituals and new modules as needs arise. Usage embeds durably instead of fading once the novelty wears off.
The outcome
An AI culture that outlasts the novelty.
By the end of the program, everyone knows when to use AI, when to be wary of it, and which rules apply. No fear, and no overconfidence.
Usage is embedded, carried by internal champions, and measured. At Doctolib, the team went from a handful of pioneers to 90% building their own agents in three months.
Tech stack
We adapt to your environment, not the other way around.
No tool forced on you. We start from the assistants your teams already use, or the ones you choose to roll out.
AI literacy for leaders
From the C-suite to the front line, one shared language on AI
We regularly speak to executive committees, leadership teams and boards to decode what generative AI really changes, no jargon, no overselling.
AI literacy often starts at the top: a leadership team that understands the opportunities and risks brings the rest of the company along. Then we spread that culture to every level.
Beyond AI literacy
What's next?
Culture in place? Time to put it into practice: tools, processes and decisions.
AI Audit
Framing
Map your processes and prioritize the high-ROI AI use cases.
AI Training
Training
Hands-on with Claude, ChatGPT, Gemini or Copilot, role by role.
AI Automation
Automation
Automate your processes end to end, under supervision.
Executive AI Coaching
Leadership
One-hour, one-to-one sessions to stay ahead on AI.
Ready to bring your teams along?
30 minutes to discuss your context and build the right path.
Book a callThey brought their teams along
Doctolib, from a handful of pioneers to 90% building agents in 3 months
Usage carried by a few at the start. Three months on the ground: more than 50 agents built by 20 people across 5 business teams.
Read the case studyA European Private Equity fund, 100+ staff equipped with AI
Copilot and Perplexity Enterprise rolled out to every team, training by level, and around fifteen specialized agents per function.
Read the case studyNewfund, 6 AI agents on Dust for the investment process
An early-stage fund between Paris and Silicon Valley. Its agents cover every dimension of deal analysis, from tech to exit, through to IC memos.
Read the case studyFrequently asked questions
How long does an AI literacy program take?
From a few weeks to several months, depending on your goals and team size. We always start with a diagnostic, then run sessions and workshops at your pace. Our guide to AI literacy at work explains where to start.
Are there technical prerequisites?
None. The program is for everyone, from leadership to operational teams. We start from each person's real level and leave the jargon at the door.
How is this different from AI training?
AI literacy gives the whole company a shared culture: what AI can do, its limits, the rules for using it and how it's governed. AI training comes next: hands-on work with Claude, ChatGPT, Gemini or Microsoft Copilot, role by role.
How do you measure adoption?
Usage metrics, before-and-after surveys, champion and use-case tracking. You steer adoption with numbers, not gut feel. To assign roles, see our guide to AI governance in a company.
On-site or remote?
Both. On-site for group energy, remote and asynchronous formats to scale. We build the mix around your constraints.